Understanding sensitivity and specificity - SPIN and SNOUT

Q: You screen a patient in a low prevalence (<2%) population for cancer using a highly sensitive test (99%) and the test result comes back negative. Is this test result more likely to be a true negative or a false negative? show answer

A: This test result is more likely to be a true negative. Please see image 3/3 for the explanation.

Q: You test a patient in a high prevalence (>50%) population for cancer using a highly specific test (99%) and the test result comes back positive. Is this test result more likely to be a true positive or a false positive? show answer

A: This test result is more likely to be a true positive. Please see image 2/3 for the explanation.